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056599a7
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056599a7
编写于
3月 21, 2019
作者:
L
luotao1
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电子邮件补丁
差异文件
add expected_kernel_cache_pass
test=develop
上级
bfdab00e
变更
7
隐藏空白更改
内联
并排
Showing
7 changed file
with
82 addition
and
1 deletion
+82
-1
paddle/fluid/framework/ir/CMakeLists.txt
paddle/fluid/framework/ir/CMakeLists.txt
+1
-0
paddle/fluid/framework/ir/expected_kernel_cache_pass.cc
paddle/fluid/framework/ir/expected_kernel_cache_pass.cc
+39
-0
paddle/fluid/framework/ir/expected_kernel_cache_pass.h
paddle/fluid/framework/ir/expected_kernel_cache_pass.h
+32
-0
paddle/fluid/framework/operator.cc
paddle/fluid/framework/operator.cc
+1
-1
paddle/fluid/framework/operator.h
paddle/fluid/framework/operator.h
+6
-0
paddle/fluid/inference/api/analysis_config.cc
paddle/fluid/inference/api/analysis_config.cc
+1
-0
paddle/fluid/inference/api/paddle_pass_builder.cc
paddle/fluid/inference/api/paddle_pass_builder.cc
+2
-0
未找到文件。
paddle/fluid/framework/ir/CMakeLists.txt
浏览文件 @
056599a7
...
...
@@ -71,6 +71,7 @@ pass_library(transpose_flatten_concat_fuse_pass inference)
pass_library
(
identity_scale_op_clean_pass base
)
pass_library
(
sync_batch_norm_pass base
)
pass_library
(
runtime_context_cache_pass base
)
pass_library
(
expected_kernel_cache_pass base
)
# There may be many transpose-flatten structures in a model, and the output of
# these structures will be used as inputs to the concat Op. This pattern will
...
...
paddle/fluid/framework/ir/expected_kernel_cache_pass.cc
0 → 100644
浏览文件 @
056599a7
/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/fluid/framework/ir/expected_kernel_cache_pass.h"
#include <memory>
#include "paddle/fluid/framework/operator.h"
namespace
paddle
{
namespace
framework
{
namespace
ir
{
std
::
unique_ptr
<
ir
::
Graph
>
ExpectedKernelCachePass
::
ApplyImpl
(
std
::
unique_ptr
<
ir
::
Graph
>
graph
)
const
{
VLOG
(
3
)
<<
"Applies Expected Kernel Cache strategy."
;
for
(
const
Node
*
n
:
graph
->
Nodes
())
{
if
(
n
->
IsOp
())
{
n
->
Op
()
->
SetAttr
(
kEnableCacheExpectedKernel
,
true
);
}
}
return
graph
;
}
}
// namespace ir
}
// namespace framework
}
// namespace paddle
REGISTER_PASS
(
expected_kernel_cache_pass
,
paddle
::
framework
::
ir
::
ExpectedKernelCachePass
);
paddle/fluid/framework/ir/expected_kernel_cache_pass.h
0 → 100644
浏览文件 @
056599a7
/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#pragma once
#include <memory>
#include "paddle/fluid/framework/ir/pass.h"
namespace
paddle
{
namespace
framework
{
namespace
ir
{
class
ExpectedKernelCachePass
:
public
Pass
{
protected:
std
::
unique_ptr
<
ir
::
Graph
>
ApplyImpl
(
std
::
unique_ptr
<
ir
::
Graph
>
graph
)
const
override
;
};
}
// namespace ir
}
// namespace framework
}
// namespace paddle
paddle/fluid/framework/operator.cc
浏览文件 @
056599a7
...
...
@@ -895,7 +895,7 @@ void OperatorWithKernel::RunImpl(const Scope& scope,
platform
::
DeviceContextPool
&
pool
=
platform
::
DeviceContextPool
::
Instance
();
auto
*
dev_ctx
=
pool
.
Get
(
place
);
if
(
!
kernel_type_
)
{
if
(
!
HasAttr
(
kEnableCacheExpectedKernel
)
||
!
kernel_type_
)
{
ChooseKernel
(
*
runtime_ctx
,
scope
,
place
);
}
...
...
paddle/fluid/framework/operator.h
浏览文件 @
056599a7
...
...
@@ -70,6 +70,12 @@ constexpr char kNewGradSuffix[] = "@NEWGRAD@";
/// this Op's execution to save the elapsed time.
constexpr
char
kEnableCacheRuntimeContext
[]
=
"@ENABLE_CACHE_RUNTIME_CONTEXT@"
;
/// If an Op has attribtue kEnableCacheExpectedKernel, it means that in a same
/// name scope and same place, since the expected kerenl of this Op does not
/// change in the execution, it could be recorded only at the first iteration of
/// this Op's execution to save the elapsed time.
constexpr
char
kEnableCacheExpectedKernel
[]
=
"@ENABLE_CACHE_EXPECTED_KERNEL@"
;
/// If an Op has this attribute, all its kernels should calculate output
/// variable's shape in the corresponding Compute() function. And
/// OperatorWithKernel::RunImpl() would skip call this Op's InferShape()
...
...
paddle/fluid/inference/api/analysis_config.cc
浏览文件 @
056599a7
...
...
@@ -203,6 +203,7 @@ void AnalysisConfig::Update() {
pass_builder
()
->
InsertPass
(
3
,
"tensorrt_subgraph_pass"
);
}
pass_builder
()
->
DeletePass
(
"runtime_context_cache_pass"
);
pass_builder
()
->
DeletePass
(
"expected_kernel_cache_pass"
);
}
if
(
use_mkldnn_
)
{
...
...
paddle/fluid/inference/api/paddle_pass_builder.cc
浏览文件 @
056599a7
...
...
@@ -81,6 +81,7 @@ GpuPassStrategy::GpuPassStrategy() : PassStrategy({}) {
"conv_elementwise_add2_act_fuse_pass"
,
//
"conv_elementwise_add_fuse_pass"
,
//
"runtime_context_cache_pass"
,
//
"expected_kernel_cache_pass"
,
//
#endif
});
...
...
@@ -117,6 +118,7 @@ CpuPassStrategy::CpuPassStrategy() : PassStrategy({}) {
"is_test_pass"
,
//
"identity_scale_op_clean_pass"
,
//
"runtime_context_cache_pass"
,
//
"expected_kernel_cache_pass"
,
//
});
use_gpu_
=
false
;
}
...
...
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